Electoral competition, transparency, and open government data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The availability of large government data, new technological developments, and emerging social norms for improved government transparency are pressurizing governments around the world to adopt open government data initiatives. Although some governments actively respond to such changes, others are found to lag despite these pressures. This study focuses on the political and administrative factors in explaining this variation. Examining how Korean local governments responded to citizens' open data requests during 2007-2016, the study demonstrates how political competition and administrative capacity are critical factors for improving government transparency and responsiveness to information disclosure requests from citizens. Specifically, considering (1) the scope of information disclosure, (2) the time to disclosure, and (3) the quality of disclosed information as the outcomes, greater electoral competition and stronger administrative capacity were found to help governments enhance transparency and responsiveness. However, regression discontinuity design shows that the partisan affiliation of local governments had little significant impact on these outcomes.

Original languageEnglish
Title of host publicationProceedings of the 21st Annual International Conference on Digital Government Research
Subtitle of host publicationIntelligent Government in the Intelligent Information Society, DGO 2020
EditorsSeok-Jin Eom, Jooho Lee
PublisherAssociation for Computing Machinery
Pages301-309
Number of pages9
ISBN (Electronic)9781450387910
DOIs
Publication statusPublished - 2020 Jun 15
Event21st Annual International Conference on Digital Government Research: Intelligent Government in the Intelligent Information Society, DGO 2020 - Seoul, Korea, Republic of
Duration: 2020 Jun 152020 Jun 19

Publication series

NameACM International Conference Proceeding Series

Conference

Conference21st Annual International Conference on Digital Government Research: Intelligent Government in the Intelligent Information Society, DGO 2020
CountryKorea, Republic of
CitySeoul
Period20/6/1520/6/19

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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